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Low Dose CT Image Denoising Using a Cycle-Consistent Adversarial Networks.

Python 100.00%

cyclegan_ctdenoising's Introduction

cycleGAN_denoising

Low Dose CT Image Denoising Using a Cycle-Consistent Adversarial Networks.

  • X : LDCT (64x64 patch extracted from a 512x512 image.)
  • Y : NDCT (64x64 patch extracted from a 512x512 image.)

Training Loss (~100 epoch)


Result

---- LDCT 20ep 40ep 60ep 80ep 100ep
PSNR 45.1087(1.5780) 33.6883(2.3005) 34.6436(2.4673) 38.0709(0.7668) 37.0799(1.1700) 36.6317(1.2361)
SSIM 0.9708(0.0107) 0.7542(0.1212) 0.8087(0.1116) 0.9428(0.0112) 0.8889(0.0305) 0.8772(0.0267)
RMSE 23.1228(4.1781) 87.8086(24.3624) 78.8303(20.7045) 51.3466(4.5541) 57.8417(7.6144) 60.9726(8.5801)

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